audiowaveform is a BBC open-source C++ CLI tool that generates waveform data from MP3, WAV, FLAC, Ogg Vorbis, and Opus audio files. It outputs binary or JSON waveform data and renders PNG waveform images at configurable zoom levels.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "audiowaveform Audio Waveform Data Generator and Image Renderer"
slug: "audiowaveform-bbc-waveform-generator"
description: "audiowaveform is a BBC open-source C++ CLI tool that generates waveform data from MP3, WAV, FLAC, Ogg Vorbis, and Opus audio files. It outputs binary or JSON waveform data and renders PNG waveform images at configurable zoom levels."
github_stars: 2130
verification: "security_reviewed"
source: "https://github.com/bbc/audiowaveform"
category: "Media & Transcription"
framework: "Custom Agents"
tool_ecosystem:
github_repo: "bbc/audiowaveform"
github_stars: 2130
---
# audiowaveform Audio Waveform Data Generator and Image Renderer
audiowaveform is a BBC open-source C++ CLI tool that generates waveform data from MP3, WAV, FLAC, Ogg Vorbis, and Opus audio files. It outputs binary or JSON waveform data and renders PNG waveform images at configurable zoom levels.
## Installation
Use the upstream install or setup path that matches your environment:
- brew install audiowaveform
- docker pull realies/audiowaveform
- make
- make install
Requirements and caveats from upstream:
- ### Docker
- A Docker image based on Alpine Linux is available [here](https://hub.docker.com/r/realies/audiowaveform),
- alias awf='docker run --rm -v pwd:/tmp -w /tmp realies/audiowaveform'
Basic usage or getting-started notes:
- 
- [Usage](#usage)
- ### Ubuntu
- Source: https://github.com/bbc/audiowaveform
- Extracted from upstream docs: https://raw.githubusercontent.com/bbc/audiowaveform/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/audiowaveform-bbc-waveform-generator/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.